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Machine Learning

Course Information

Start DateAnytime
End Date3 Month Access
ModeSelf-Paced E-Learning
Fee$899 (excluding GST)
Contact6720 3333 (Ms. Felicia) training.aventis@gmail.com
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Course Overview

This Machine Learning online course offers an in-depth overview of Machine Learning topics including working with real-time data, developing algorithms using supervised & unsupervised learning, regression, classification, and time series modeling. Learn how to use Python in this Machine Learning certification training to draw predictions from data.

This self-paced E learning course is done in partnership with SimpliLearn. It consists of a few videos that will take approximately 7 hours in total to finish the course. Upon successful completion of the Machine Learning online course, you will receive a completion certificate from SimpliLearn and Aventis that will be able to enhance your portfolio.


The Machine Learning certification online course is well-suited for participants at the intermediate level including, analytics managers, business analysts, information architects, developers looking to become data scientists, and graduates seeking a career in Data Science and Machine Learning.


This Machine Learning course requires an understanding of basic statistics and mathematics at the college level. Familiarity with Python programming is also beneficial. You should understand these fundamental courses including Python for Data Science, Math Refresher, and Statistics Essential for Data Science, before getting into the Machine Learning online course.

Course Content

Lesson 01 Course Introduction

Lesson 02 Introduction to AI and Machine Learning

Lesson 03 Data Preprocessing

Lesson 04 Supervised Learning

Lesson 05 Feature Engineering

Lesson 06 Supervised Learning Classification

Lesson 07 Unsupervised Learning

Lesson 08 Time Series Modeling

Lesson 09 Ensemble Learning

Lesson 10 Recommender Systems

Lesson 11 Text Mining

Lesson 12 Project Highlight

Practice Projects

Free Course

  • Math RefresherPreview
  • Statistics Essential for Data Science